Validate your Credentials against 1V0-41.20 3 = 101.5/94.203, or r = 5.03%.
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Exam: An Ultimate Key to Success!
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NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
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NEW QUESTION: 1
A security administrator must implement a system that will support and enforce the following file system access control model:
FILE NAMESECURITY LABEL
Employees.docConfidential
Salary.xlsConfidential
OfficePhones.xlsUnclassified
PersonalPhones.xlsRestricted
Which of the following should the security administrator implement?
A. Trusted OS
B. White and black listing
C. SCADA system
D. Version control
Answer: A
Explanation:
Explanation/Reference:
Explanation:
A trusted operating system (TOS) is any operating system that meets the government's requirements for security. Trusted OS uses a form of Mandatory access control called Multi-Level Security.
The Mandatory access control (MAC) is a form of access control commonly employed by government and military environments. MAC specifies that access is granted based on a set of rules rather than at the discretion of a user. The rules that govern MAC are hierarchical in nature and are often called sensitivity labels, security domains, or classifications.
MLS is an implementation of MAC that focuses on confidentiality. A Multi-Level Security operating system is able to enforce the separation of multiple classifications of information as well as manage multiple users with varying levels of information clearance. The military and intelligence community must handle and process various hierarchical levels of classified information. At the high-end there is Top Secret, followed in turn by Secret, Confidential, and Unclassified:
NEW QUESTION: 2
オープン標準プロトコルでレイヤ3 EtherChannelを確立するために、スイッチでどの2つのコマンドシーケンスを設定する必要がありますか？ （2つ選択してください）
A. interface GigabitEthernet0/0/1
channel-group 10 mode active
B. interface port-channel 10
switchport
switchport mode trunk
C. interface GigabitEthernet0/0/1
channel-group 10 mode on
D. interface port-channel 10
no switchport
ip address 172.16.0.1.255.255.255.0
E. interface GigabitEthernet0/0/1
channel-group 10 mode auto
Answer: A,D
NEW QUESTION: 3
The yield offered by a bond with 18 months remaining to maturity is 5%. The coupon is 3%, paid semi-annually, and there are two more coupon payments to go in addition to the interest payment made at maturity. The zero rate for 6 months is 2%, that for 12 months is 3%. What is the 18 month zero rate?
A. 4.81%
B. 5.03%
C. 4.03
D. 6.03%
Answer: B
Explanation:
Explanation
This is a two step problem:
First, calculate the bond price using the yield information, then
Second, once you know the bond price, calculate the 18 month zero rate using the bootstrap method.
Step 1: Bond valuation: All variables required for pricing the bond are known. The coupon payments will be
$1.50 in 6 months and 1 year from now, and a final paymento of $101.50 will be received in an year's time.
This can be discounted at the yield provided as follows, and summed together to get the bond price of $97.14.
Step 2: Boot strapping: Discount the 6 month and 12 month coupons at the zero rates for those periods, and subtract the total of these PVs from the bond price. These work out to 1.5/(1+2%/2) = 1.485, and
1.5/(1+3%/2)
NEW QUESTION: 4
-exam-questions.html">Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
Few weeks ago I got 90% marks in 1V0-41.20 3 = 101.5/94.203, or r = 5.03%.
NEW QUESTION: 4
Exam. I just visited Utazzkalandmackoval and bought their perfect and updated exam dumps for my 1V0-41.20 3 = 101.5/94.203, or r = 5.03%.Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships
NEW QUESTION: 4
exam preparation.Note: This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but
the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only
relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A. To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID])
DAX formula.
B. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy
format.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD])
DAX formula.
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships